0439651 20240103205550.920150120235959.9 84946689560 000380802600027 10.1109/IWCIM.2014.7008818 Dynamic Textures Modeling Using Temporal Mixing Coefficients Reduction 5 s. P cav_un_epca*0439650978-1-4799-7971-42014 International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM)Los Alamitos, USAIEEE Computer Society CPS2014 Dynamic texture texture analysis texture synthesis data compression cav_un_auth*0283206 Rozpoznávání obrazu Department of Pattern Recognition RO RO Department of Pattern Recognition Havlíček Michal UTIA-B Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101093 Rozpoznávání obrazu Department of Pattern Recognition RO RO Department of Pattern Recognition Haindl Michal UTIA-B Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101086 Rozpoznávání obrazu Department of Pattern Recognition RO RO Department of Pattern Recognition Filip Jiří UTIA-B Ústav teorie informace a automatizace AV ČR, v. v. i. http://library.utia.cas.cz/separaty/2014/RO/haindl-0439651.pdf cav_un_auth*0303439 GA14-10911S GA ČR CZ cav_un_auth*0303412 GA14-02652S GA ČR CZ Real world materials often change their appearance over time. If these variations are spatially and temporally homogeneous then the material visual appearance can be represented by a dynamic texture which is a natural extension of classic texture concept including the time as an extra dimension. In this article we present possible way to handle multispectral dynamic textures based on a combination of input data eigen analysis and subsequent processing of temporal mixing coefficients. The proposed method exhibits overall good performance, offers extremely fast synthesis which is not restricted in temporal dimension and simultaneously enables to compress significantly the original measured visual data. cav_un_auth*0313040 International Workshop on Computational Intelligence for Multimedia Understanding 2014 (IWCIM) 01.11.2014-02.11.2014 Paris FR BD 2015 3 PR RVO:67985556 http://hdl.handle.net/11104/0242972 1 S 2014 84946689560 SCOPUS 000380802600027 WOS cav_un_epca*0439650 2014 International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM) 978-1-4799-7971-4 Los Alamitos, USA IEEE Computer Society CPS 2014